QA Engineer (MIS) (Remote)

About this role

KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and humans. The KnowBe4 Platform provides attack simulation and training, collaboration security, and agent security powered by AIDA (Artificial Intelligence Defense Agents) and a proprietary Risk Score. The platform leverages 15-years of behavioral data to combat advanced threats including social engineering, prompt injection, and shadow AI. By securing humans and agents, KnowBe4 leads the industry in workforce trust and defense.

As a QA Engineer supporting MIS teams, you will work across diverse business systems including SaaS platforms (NetSuite, Salesforce, Workday, etc.), hosted solutions, and internally developed applications to ensure high quality output. This role requires a self-starter mentality and the ability to quickly learn new systems and requirements, including specialized testing for AI systems and Large Language Models (LLMs).

This role is ideal for someone who thrives on continuous learning, takes ownership of quality assurance processes, and can quickly become proficient with new applications and technical environments.

Responsibilities:

Test Strategy and Planning

• Develop and implement comprehensive test strategies for MIS systems and projects

• Create detailed test plans and test cases for new features, enhancements, and integrations

• Maintain QA best practices and standards across all platforms

• Quickly adapt to and learn new systems, platforms, and business processes with minimal guidance

• Proactively dig into requirements documentation to thoroughly understand system functionality

Test Execution

• Perform thorough manual testing across the full spectrum of MIS applications and software

• Execute functional, regression, integration, and user acceptance testing

• Perform specialized testing of AI systems including Large Language Models (LLMs) and agentic AI, evaluating outputs for accuracy, consistency, and alignment with business requirements

• Conduct performance and load testing when necessary

Automated Testing

• Design, develop, and maintain automated test scripts to appropriately support a variety of applications

• Identify opportunities and implement test automation for repetitive testing scenarios

• Continuously improve test automation coverage and efficiency

Defect Management

• Identify, document, and track software defects using appropriate tools

• Analyze and document bugs and errors discovered during testing phases

• Provide clear, detailed reproduction steps and supporting evidence for identified issues

• Collaborate with developers to ensure timely resolution of issues

• Perform root cause analysis on critical bugs to prevent recurrence

Cross-Platform Testing

• Test integrations between systems to ensure data consistency, data flow, and functionality

• Verify end-to-end business processes that span multiple systems

• Rapidly gain understanding of business workflows to provide meaningful QA feedback

Reporting and Documentation

• Prepare detailed test reports and quality metrics for stakeholders

• Maintain up-to-date test documentation, including test cases and procedures

• Report test results in a clear, concise manner for both technical and non-technical stakeholders

• Develop comprehensive test plans that align with business requirements

Collaboration

• Work closely with developers, business analysts, and product owners to understand requirements and ensure quality throughout the development lifecycle

• Participate in sprint planning, daily stand-ups, backlog refinement, and retrospectives as appropriate

• Work closely with teams to resolve identified issues

Continuous Improvement

• Stay updated on the latest QA methodologies, tools, and best…